A 0.13-<formula formulatype="inline"><tex Notation="TeX">$\mu{\rm m}$</tex></formula> CMOS Low-Power Capacitor-Less LDO Regulator Using Bulk-Modulation Technique
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Bibliographic record
Abstract
In this paper, a bulk-modulation technique is introduced for improving the performance of low-drop-out (LDO) voltage regulators. Compared to conventional LDO voltage regulators, the proposed circuit achieves improved accuracy, stability, and output load current capability. The technique is particularly suited for low-power applications such as biomedical implants and portable devices. A proof-of-concept prototype is designed and fabricated in 0.13-μm CMOS, to illustrate the enhancement that can be achieved by applying this technique. The proposed enhanced LDO regulator which is based on conventional LDO regulators is able to delivers up to 5 mA of load current while providing a 1 V (~ 1.5% load regulation) drawing 99.0 μA from a 1.2 V supply. Measurement results confirm that as compared to conventional LDOs, the proposed circuit offers better stability as well as %75 improvement in the load current delivery and ~10× faster recovery time for no-load to and from full-load transitions.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it